Table 3 Robustness of Model 1 for crop insurance
From: Intensity of crop and livestock insurance adoption: lessons from Mexico
Dependent variable: | ||||||||
|---|---|---|---|---|---|---|---|---|
ICIA | ||||||||
Poisson | Quasi-Poisson | Negative Binomial | Poisson | Quasi-Poisson | Negative Binomial | Poisson | Quasi-Poisson | |
Combined | Combined | Combined | Index | Index | Index | Indemnity | Indemnity | |
POP | 0.523\(^{***}\) | 0.523\(^{***}\) | 0.295\(^{***}\) | 0.424\(^{***}\) | 0.424\(^{***}\) | 0.333\(^{***}\) | 0.266\(^{***}\) | 0.266\(^{**}\) |
(0.010) | (0.070) | (0.040) | (0.013) | (0.046) | (0.034) | (0.021) | (0.118) | |
ASIPUP | −0.007\(^{***}\) | −0.007 | 0.002 | 0.006\(^{**}\) | 0.006 | −0.005 | −0.039\(^{***}\) | −0.039 |
(0.003) | (0.017) | (0.013) | (0.003) | (0.010) | (0.009) | (0.012) | (0.070) | |
LSFPO | 0.002\(^{***}\) | 0.002 | 0.001 | −0.0001 | −0.0001 | −0.0001 | 0.0003 | 0.0003 |
(0.0003) | (0.002) | (0.001) | (0.0001) | (0.0004) | (0.0004) | (0.0002) | (0.001) | |
PI | 0.400\(^{***}\) | 0.400\(^{*}\) | 0.282\(^{*}\) | 0.468\(^{***}\) | 0.468\(^{**}\) | 0.102 | 0.152\(^{**}\) | 0.152 |
(0.032) | (0.216) | (0.150) | (0.053) | (0.182) | (0.136) | (0.062) | (0.350) | |
NRS | −0.006\(^{***}\) | −0.006\(^{***}\) | −0.003\(^{**}\) | −0.001\(^{***}\) | −0.001 | −0.001 | −0.007\(^{***}\) | −0.007 |
(0.0002) | (0.002) | (0.001) | (0.0003) | (0.001) | (0.001) | (0.001) | (0.005) | |
Constant | 0.887 | −1.242\(^{**}\) | 0.557 | −0.267 | −0.313 | |||
(0.944) | (0.583) | (0.629) | (0.549) | (1.625) | ||||
Fixed effects | State and Year | State and Year | State and Year | State and Year | State and Year | State and Year | State and Year | State and Year |
Observations | 172 | 172 | 172 | 156 | 156 | 156 | 83 | 83 |
AIC | 6889.27 | NA | 1440.59 | 1983.16 | NA | 1099.33 | 1994.78 | NA |
- Model: The indemnity crop insurance results for Negative Binomial are not depicted here because of the converge problem
- Note: Standard errors are in parentheses. \(^{*}\)p<0.1; \(^{**}\)p<0.05; \(^{***}\)p<0.01